Data Scientist II AI

Delivery Hero; Dubai; On-site; AED 240,000 - 320,000; Full time

Job summary

Delivery Hero is seeking a Sr.AI Scientist on the global AI hub to advance our platform through reliable data-driven decisions. You will own domain-specific data and partner with product and business managers, building production ML and Gen AI systems and mentoring peers.

You will shape data logging, modeling, analysis, reporting and experiments while collaborating across teams to drive measurable business impact and improved user experiences.

Qualifications

• Bachelor's degree in engineering, CS, technology or similar fields.
• 3 years of experience in data science, ML and Gen AI.
• Experience in online consumer product data science is a plus.
• Strong problem-solving with a growth mindset.
• Excellent collaboration and communication skills.
• Ownership and accountability with a can-do attitude.

Responsibilities

• Leverage ambiguous business problems to drive objective criteria using data.
• Solve complex problems with simple, effective algorithms delivering business value.
• Design and deploy production ML and Gen AI systems.
• Develop deep understanding of product experiences and business processes.
• Document data sources and profiles; collaborate with engineers.
• Contribute to data model design to measure performance drivers.
• Work with product/business teams to frame questions that data can answer.
• Deliver insights and automated reports to support decisions.
• Design and analyze experiments (A/B and multivariate).
• Support KPI design and goal setting with management.
• Mentor other data scientists in growth journeys.
• Improve tools, processes, and internal training programs.

Skills

Problem solving

Collaboration

Communication

Ownership

Simplicity mindset

Education

Bachelor's degree in engineering/computer science/technology

Postgraduate degree is a plus

Tools

Scikit-learn

XGBoost

LightGBM

CatBoost

SVMs

Keras

TensorFlow

PyTorch

Hugging Face Transformers

LLM fine-tuning

Job description

As the leading delivery company in the region we have a great responsibility and opportunity to impact the lives of millions of customers restaurant partners and riders. To realize our potential we need to advance our platform to become much more intelligent in how it understands and serves our users.

As a Sr.AI Scientist on the global AI hub your mission will be to improve the quality of the decisions made across product and business via relevant reliable and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging data modeling analysis reporting and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment smart content understanding and automated decision-making to enhance user experiences and business operations.

Responsibilities

• Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
• Solving complex business problems using the simplest most appropriate algorithms to deliver business value.
• Designing and implementing effective and impactful machine learning and generative AI systems in production.
• Developing a deep understanding of the product experiences and business processes that make up your area of focus.
• Developing a deep familiarity with the source data and its generating systems through documentation interacting with the engineering teams and systematic data profiling.
• Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
• Working closely with product and business teams to identify important questions that can be answered effectively with data.
• Delivering well-formed relevant reliable and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
• Designing planning and analyzing experiments (A/B and multivariate tests).
• Supporting product and business managers with KPI design and goal setting.
• Mentoring other data scientists in their growth journeys.
• Contributing to improving our ways of working our tooling and our internal training programs.

Qualifications

Requirements

• Bachelors degree in engineering computer science technology or similar fields. A postgraduate degree is a plus but not required.
• 3years of experience working in data science machine learning and Gen AI.
• Experience doing data science in an online consumer product setting is a plus.
• A good problem solver with a figure it out growth mindset.
• An excellent collaborator and communicator.
• A strong sense of ownership and accountability.
• A keep it simple approach to #makeithappen.

Technical Experience

• Experience in machine learning generative AI deep learning recommendation systems pattern recognition data mining and artificial intelligence.
• Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn XGBoost LightGBM CatBoost SVMs Keras TensorFlow PyTorch Hugging Face Transformers LLM fine-tuning).
• Excellent SQL.
• Competence with reproducible data analysis using Python or R.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire data lifecycle including problem formulation data auditing rigorous analysis interpretation recommendations and presentation.
• Familiarity with different types of analysis including descriptive exploratory inferential causal and predictive analysis.
• Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
• Familiarity with product data (impressions events etc.) and product health measurement (conversion engagement retention etc.).
• Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
• Familiarity with BigQuery and the Google Cloud Platform is a plus.
• Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.

Qualifications

• Bachelors degree in engineering computer science technology or similar fields. A postgraduate degree is a plus but not required.
• 3years of experience working in data science machine learning and Gen AI.
• Experience doing data science in an online consumer product setting is a plus.
• A good problem solver with a figure it out growth mindset.
• An excellent collaborator and communicator.
• A strong sense of ownership and accountability.
• A keep it simple approach to #makeithappen.

Remote Work

No

Employment Type

Full-time